GSTDTAP  > 资源环境科学
DOI10.1002/2017WR021627
Toward the Prediction of Bed Load Rating Curve Parameter Values: The Influence of Scale, Particle Size, and Entrainment Threshold
Gaeuman, D.1; Stewart, R. L.1; Pittman, S.2
2018-05-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:5页码:3313-3334
文章类型Article
语种英语
国家USA
英文摘要

Three-parameter bed load rating curves for fractional and total bed load transport rates are presented for 15 bed load data sets, and the relationships between the parameter values and physical attributes of the transport process are investigated. The coefficients in these rating curves represent the product of the bed load particle size raised to a power near 1.5 and the active channel width divided by the threshold for bed load entrainment raised to the power of the bed load rating curve exponent. Because bed load entrainment thresholds for different streams typically increase with stream scale faster than do mean bed load particle sizes, total bed load rating curves coefficients for different streams decrease with increasing stream size. In the case of fractional bed load, however, differences between the entrainment thresholds for different particle size fractions are relatively small, so coefficients in fractional bed load rating curves for a given stream usually increase with the particle size class considered. Much of the variability in bed load rating curve exponents appears to be due to estimation errors rather than physical conditions in the stream. The exponents can be overestimated when the sample data used to estimate them are confined to discharges near the sediment entrainment threshold, and the mathematical consequences of summing multiple fractional rating curves can inflate the exponents for mixed size sediments. We recognize channel geometry as another important factor determining the value of rating curve exponents, but the detailed topographic data needed to assess the role of channel form is unavailable for the most of the sampling locations analyzed in this study.


Plain Language Summary Bed load rating curves are equations used to estimate that flux of coarse sediment during high-flow events in streams. The rating curve equations are optimized to match measured sediment transport rates using statistical techniques to vary the values of adjustable variables, called parameters. Currently, the parameters cannot be predicted from the physical attributes of the stream, or adjusted to account for observed changes in stream condition. We compare rating curves parameters to stream attributes for 15 different bed load data sets and determine how the parameters are related to stream scale and the size of sediment in transport.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000442351300006
WOS关键词BEDLOAD TRANSPORT ; SEDIMENT TRANSPORT ; MAXIMUM-LIKELIHOOD ; GRAVEL ; RIVERS ; STREAMS ; CHANNELS ; HYSTERESIS ; REGRESSION ; MOBILITY
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21414
专题资源环境科学
作者单位1.Trinity River Restorat Program, Weaverville, CA 96093 USA;
2.GMA Hydrol, Weaverville, CA USA
推荐引用方式
GB/T 7714
Gaeuman, D.,Stewart, R. L.,Pittman, S.. Toward the Prediction of Bed Load Rating Curve Parameter Values: The Influence of Scale, Particle Size, and Entrainment Threshold[J]. WATER RESOURCES RESEARCH,2018,54(5):3313-3334.
APA Gaeuman, D.,Stewart, R. L.,&Pittman, S..(2018).Toward the Prediction of Bed Load Rating Curve Parameter Values: The Influence of Scale, Particle Size, and Entrainment Threshold.WATER RESOURCES RESEARCH,54(5),3313-3334.
MLA Gaeuman, D.,et al."Toward the Prediction of Bed Load Rating Curve Parameter Values: The Influence of Scale, Particle Size, and Entrainment Threshold".WATER RESOURCES RESEARCH 54.5(2018):3313-3334.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gaeuman, D.]的文章
[Stewart, R. L.]的文章
[Pittman, S.]的文章
百度学术
百度学术中相似的文章
[Gaeuman, D.]的文章
[Stewart, R. L.]的文章
[Pittman, S.]的文章
必应学术
必应学术中相似的文章
[Gaeuman, D.]的文章
[Stewart, R. L.]的文章
[Pittman, S.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。